The most significant risk for the success of this project is model tuning, meaning we don’t achieve the accuracy that we aimed for before the final demo. To mitigate this risk, we are continuing to train our models by adding more training data. As for contingency plans, we are going to leave it as it is since there’s only a week till the demo. Also, after talking to Professor Gormley, the machine learning professor at CMU, he suggested that we should not change our neural network structures due to time constraints.
There have been no changes to the existing design of the system and to our schedule.